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Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517

Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
40 minutes
Released:
Sep 9, 2021
Format:
Podcast episode

Description

Today we’re joined by Konrad Tollmar, research director at Electronic Arts and an associate professor at KTH. 

In our conversation, we explore his role as the lead of EA’s applied research team SEED and the ways that they’re applying ML/AI across popular franchises like Apex Legends, Madden, and FIFA. We break down a few papers focused on the application of ML to game testing, discussing why deep reinforcement learning is at the top of their research agenda, the differences between training atari games and modern 3D games, using CNNs to detect glitches in games, and of course, Konrad gives us his outlook on the future of ML for games training.

The complete show notes for this episode can be found at twimlai.com/go/517.
Released:
Sep 9, 2021
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.